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Reconstructing the calibrated strain signal in the Advanced LIGO detectors

Viets, A. D. and Wade, M. and Urban, A. L. and Kandhasamy, S. and Betzwieser, J. and Brown, Duncan A. and Burguet-Castell, J. and Cahillane, C. and Goetz, E. and Izumi, K. and Karki, S. and Kissel, J. S. and Mendell, G. and Savage, R. L. and Siemens, X. and Tuyenbayev, D. and Weinstein, A. J. (2018) Reconstructing the calibrated strain signal in the Advanced LIGO detectors. Classical and Quantum Gravity, 35 (9). Art. No. 095015. ISSN 0264-9381. http://resolver.caltech.edu/CaltechAUTHORS:20180403-101646885

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Abstract

Advanced LIGO's raw detector output needs to be calibrated to compute dimensionless strain h(t). Calibrated strain data is produced in the time domain using both a low-latency, online procedure and a high-latency, offline procedure. The low-latency h(t) data stream is produced in two stages, the first of which is performed on the same computers that operate the detector's feedback control system. This stage, referred to as the front-end calibration, uses infinite impulse response (IIR) filtering and performs all operations at a 16 384 Hz digital sampling rate. Due to several limitations, this procedure currently introduces certain systematic errors in the calibrated strain data, motivating the second stage of the low-latency procedure, known as the low-latency gstlal calibration pipeline. The gstlal calibration pipeline uses finite impulse response (FIR) filtering to apply corrections to the output of the front-end calibration. It applies time-dependent correction factors to the sensing and actuation components of the calibrated strain to reduce systematic errors. The gstlal calibration pipeline is also used in high latency to recalibrate the data, which is necessary due mainly to online dropouts in the calibrated data and identified improvements to the calibration models or filters.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1088/1361-6382/aab658DOIArticle
http://iopscience.iop.org/article/10.1088/1361-6382/aab658/metaPublisherArticle
https://arxiv.org/abs/1710.09973arXivDiscussion Paper
ORCID:
AuthorORCID
Viets, A. D.0000-0002-4241-1428
Brown, Duncan A.0000-0002-9180-5765
Weinstein, A. J.0000-0002-0928-6784
Additional Information:© 2018 IOP Publishing Ltd. Received 27 October 2017, revised 12 March 2018; Accepted for publication 13 March 2018; Published 4 April 2018. The authors would like to thank Chris Wipf, Evan Hall, Jolien Creighton, Patrick Brockill, John Zweizig, Kipp Cannon, Bruce Allen, Chris Pankow, Chad Hanna, and Les Wade for helpful discussions and feedback while developing the methods discussed here. The authors were supported by National Science Foundation grants PHY-1607178, PHY-1607585, and PHY-1506360. LIGO was constructed by the California Institute of Technology and Massachusetts Institute of Technology with funding from the National Science Foundation and operates under cooperative agreement PHY-0757058. This paper carries LIGO Document Number LIGO-P1700236.
Group:LIGO
Funders:
Funding AgencyGrant Number
NSFPHY-1607178
NSFPHY-1607585
NSFPHY-1506360
NSFPHY-0757058
Other Numbering System:
Other Numbering System NameOther Numbering System ID
LIGO DocumentLIGO-P1700236
Record Number:CaltechAUTHORS:20180403-101646885
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20180403-101646885
Official Citation:A D Viets et al 2018 Class. Quantum Grav. 35 095015
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:85578
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:03 Apr 2018 19:54
Last Modified:03 Apr 2018 19:54

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